Recent advancements in learning algorithms for point clouds: An updated overview
Recent advancements in self-driving cars, robotics, and remote sensing have widened the
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
Hydra: A real-time spatial perception system for 3D scene graph construction and optimization
Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems
Multi-robot simultaneous localization and map** (SLAM) is a crucial capability to obtain
timely situational awareness over large areas. Real-world applications demand multi-robot …
timely situational awareness over large areas. Real-world applications demand multi-robot …
Constructing maps for autonomous robotics: An introductory conceptual overview
Map** the environment is a powerful technique for enabling autonomy through
localization and planning in robotics. This article seeks to provide a global overview of …
localization and planning in robotics. This article seeks to provide a global overview of …
Maskfusion: Real-time recognition, tracking and reconstruction of multiple moving objects
We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D SLAM
system that goes beyond traditional systems which output a purely geometric map of a static …
system that goes beyond traditional systems which output a purely geometric map of a static …
Semantics for robotic map**, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
Scene graphs are a compact and explicit representation successfully used in a variety of 2D
scene understanding tasks. This work proposes a method to build up semantic scene …
scene understanding tasks. This work proposes a method to build up semantic scene …
Segmatch: Segment based place recognition in 3d point clouds
Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
adapting image-based solutions. Methods based on local features suffer from ambiguity and …